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DBMS > Elasticsearch vs. KeyDB vs. SingleStore vs. WakandaDB

System Properties Comparison Elasticsearch vs. KeyDB vs. SingleStore vs. WakandaDB

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Editorial information provided by DB-Engines
NameElasticsearch  Xexclude from comparisonKeyDB  Xexclude from comparisonSingleStore infoformer name was MemSQL  Xexclude from comparisonWakandaDB  Xexclude from comparison
DescriptionA distributed, RESTful modern search and analytics engine based on Apache Lucene infoElasticsearch lets you perform and combine many types of searches such as structured, unstructured, geo, and metricAn ultra-fast, open source Key-value store fully compatible with Redis API, modules, and protocolsMySQL wire-compliant distributed RDBMS that combines an in-memory row-oriented and a disc-based column-oriented storage with patented universal storage to handle transactional and analytical workloads in one single table typeWakandaDB is embedded in a server that provides a REST API and a server-side javascript engine to access data
Primary database modelSearch engineKey-value storeRelational DBMSObject oriented DBMS
Secondary database modelsDocument store
Spatial DBMS
Vector DBMS
Document store
Spatial DBMS
Time Series DBMS
Vector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score128.79
Rank#8  Overall
#1  Search engines
Score0.63
Rank#232  Overall
#32  Key-value stores
Score4.02
Rank#74  Overall
#39  Relational DBMS
Score0.03
Rank#364  Overall
#17  Object oriented DBMS
Websitewww.elastic.co/­elasticsearchgithub.com/­Snapchat/­KeyDB
keydb.dev
www.singlestore.comwakanda.github.io
Technical documentationwww.elastic.co/­guide/­en/­elasticsearch/­reference/­current/­index.htmldocs.keydb.devdocs.singlestore.comwakanda.github.io/­doc
DeveloperElasticEQ Alpha Technology Ltd.SingleStore Inc.Wakanda SAS
Initial release2010201920132012
Current release8.6, January 20238.5, January 20242.7.0 (April 29, 2019), April 2019
License infoCommercial or Open SourceOpen Source infoElastic LicenseOpen Source infoBSD-3commercial infofree developer edition availableOpen Source infoAGPLv3, extended commercial license available
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC++C++, GoC++, JavaScript
Server operating systemsAll OS with a Java VMLinuxLinux info64 bit version requiredLinux
OS X
Windows
Data schemeschema-free infoFlexible type definitions. Once a type is defined, it is persistentschema-freeyesyes
Typing infopredefined data types such as float or dateyespartial infoSupported data types are strings, hashes, lists, sets and sorted sets, bit arrays, hyperloglogs and geospatial indexesyesyes
XML support infoSome form of processing data in XML format, e.g. support for XML data structures, and/or support for XPath, XQuery or XSLT.nononono
Secondary indexesyes infoAll search fields are automatically indexedyes infoby using the Redis Search moduleyes
SQL infoSupport of SQLSQL-like query languagenoyes infobut no triggers and foreign keysno
APIs and other access methodsJava API
RESTful HTTP/JSON API
Proprietary protocol infoRESP - REdis Serialization ProtocoCluster Management API infoas HTTP Rest and CLI
HTTP API
JDBC
MongoDB API
ODBC
RESTful HTTP API
Supported programming languages.Net
Groovy
Community Contributed Clients
Java
JavaScript
Perl
PHP
Python
Ruby
C
C#
C++
Clojure
Crystal
D
Dart
Elixir
Erlang
Fancy
Go
Haskell
Haxe
Java
JavaScript (Node.js)
Lisp
Lua
MatLab
Objective-C
OCaml
Pascal
Perl
PHP
Prolog
Pure Data
Python
R
Rebol
Ruby
Rust
Scala
Scheme
Smalltalk
Swift
Tcl
Visual Basic
Bash
C
C#
Java
JavaScript (Node.js)
Python
JavaScript
Server-side scripts infoStored proceduresyesLuayesyes
Triggersyes infoby using the 'percolation' featurenonoyes
Partitioning methods infoMethods for storing different data on different nodesShardingShardingSharding infohash partitioningnone
Replication methods infoMethods for redundantly storing data on multiple nodesyesMulti-source replication
Source-replica replication
Source-replica replication infostores two copies of each physical data partition on two separate nodesnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsES-Hadoop Connectornono infocan define user-defined aggregate functions for map-reduce-style calculationsno
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency infoSynchronous doc based replication. Get by ID may show delays up to 1 sec. Configurable write consistency: one, quorum, allEventual Consistency
Strong eventual consistency with CRDTs
Immediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoOptimistic locking, atomic execution of commands blocks and scriptsACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes, multi-version concurrency control (MVCC)yes
Durability infoSupport for making data persistentyesyes infoConfigurable mechanisms for persistency via snapshots and/or operations logsyes infoAll updates are persistent, including those to disk-based columnstores and memory-based row stores. Transaction commits are supported via write-ahead log.yes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.Memcached and Redis integrationyesyesno
User concepts infoAccess controlsimple password-based access control and ACLFine grained access control via users, groups and rolesyes

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More resources
ElasticsearchKeyDBSingleStore infoformer name was MemSQLWakandaDB
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